Remote Data Engineer (ML, Azure Databricks)

KCS IT; Portugal; A distancia; EUR 24.000 - 42.000; Jornada completa

Descripción de la vacante

We at KCS IT are seeking an Amazing: Data engineer with machine learning for a Junior level, remote-only position within Portugal. The role requires 2–3 years in data engineering, strong Azure Databricks, Python/SQL, and experience with Azure Data Lake Storage and Parquet/Delta Lake.

You will work across the data lifecycle, applying ML libraries, and deliver scalable, cost‑aware solutions. Fluent PT and EN are required.

Formación

• 2–3 years of experience in Data Engineering.
• Strong experience with Azure Databricks.
• Good knowledge of Python, SQL and PySpark.
• Experience with Azure Data Lake Storage and formats such as Parquet and Delta Lake.
• Experience across the full data solution development lifecycle: ingestion, transformation, modelling and data delivery.
• Hands‑on experience with Machine Learning libraries.
• Knowledge of data preparation, feature engineering, model training, validation and evaluation.
• Understanding of overfitting, data leakage, train/test split and cross‑validation.
• Experience integrating models into data processing pipelines and batch scoring workflows.
• Experience with Git and software development best practices.
• Ability to develop scalable solutions, with a focus on performance and execution costs.
• Fluent in Portuguese and English.

Conocimientos

Azure Databricks

Python

SQL

PySpark

Azure Data Lake Storage

Parquet

Delta Lake

ML libraries

Data pipelines

Git

Agile (Scrum)

Portuguese/English

Descripción del empleo

We at KCS IT are seeking an Amazing: Data engineer with machine learning for a Junior level, remote-only position within Portugal. The role requires 2–3 years in data engineering, strong Azure Databricks, Python/SQL, and experience with Azure Data Lake Storage and Parquet/Delta Lake.

You will work across the data lifecycle, applying ML libraries, and deliver scalable, cost‑aware solutions. Fluent PT and EN are required.